Intermittent Impulsive Synchronization of Chaotic Delayed Neural Networks

被引：22
|
作者：
Liu X. [1 ]
Shen X. [2 ]
Zhang H. [2 ]
机构：
[1] Department of Applied Mathematics, University of Waterloo, Waterloo
[2] Department of Electrical and Computer Engineering, University of Waterloo, Waterloo
来源：
Differential Equations and Dynamical Systems | 2011年 / 19卷 / 1-2期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Chaos synchronization; Chaotic delayed neural networks; Intermittent impulsive control; LMI; Lyapunov-Razumikhin technique; Time delay;
D O I：
10.1007/s12591-011-0080-8
中图分类号：
学科分类号：
摘要：
In this paper, a novel intermittent impulsive synchronization scheme is proposed to realize synchronization of two chaotic delayed neural networks. Intermittent impulsive control breaks through the limitation of the upper bound of the impulsive intervals in general impulsive control. In our synchronization scheme, impulsive control is only activated in the control windows, rather than during the whole time. Several synchronization criteria for chaotic delayed neural networks are established utilizing the method of linear matrix inequalities (LMI) and the Lyapunov-Razumikhin technique. Two numerical examples are given to demonstrate the effectiveness of our main results. © 2011 Foundation for Scientific Research and Technological Innovation.
引用
收藏
页码：149 / 169
页数：20
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